{"id":"https://openalex.org/W4385350692","doi":"https://doi.org/10.3233/jifs-232042","title":"A multi-attribute decision making method for TODIM based on mixed correlation coefficients for probabilistic linguistic term sets","display_name":"A multi-attribute decision making method for TODIM based on mixed correlation coefficients for probabilistic linguistic term sets","publication_year":2023,"publication_date":"2023-07-28","ids":{"openalex":"https://openalex.org/W4385350692","doi":"https://doi.org/10.3233/jifs-232042"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-232042","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-232042","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101731008","display_name":"Huimin Xiao","orcid":"https://orcid.org/0000-0002-2470-3398"},"institutions":[{"id":"https://openalex.org/I7726996","display_name":"Henan University of Economic and Law","ror":"https://ror.org/000jtc944","country_code":"CN","type":"education","lineage":["https://openalex.org/I7726996"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimin Xiao","raw_affiliation_strings":["School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, Henan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I7726996"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003301562","display_name":"Xiaosong Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I7726996","display_name":"Henan University of Economic and Law","ror":"https://ror.org/000jtc944","country_code":"CN","type":"education","lineage":["https://openalex.org/I7726996"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaosong Gao","raw_affiliation_strings":["School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, Henan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I7726996"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727441","display_name":"Peng Yang","orcid":"https://orcid.org/0000-0002-9116-4435"},"institutions":[{"id":"https://openalex.org/I7726996","display_name":"Henan University of Economic and Law","ror":"https://ror.org/000jtc944","country_code":"CN","type":"education","lineage":["https://openalex.org/I7726996"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Yang","raw_affiliation_strings":["School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, Henan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I7726996"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377152","display_name":"Meng Wei","orcid":"https://orcid.org/0000-0002-3515-2384"},"institutions":[{"id":"https://openalex.org/I7726996","display_name":"Henan University of Economic and Law","ror":"https://ror.org/000jtc944","country_code":"CN","type":"education","lineage":["https://openalex.org/I7726996"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wei","raw_affiliation_strings":["School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, Henan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I7726996"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003301562"],"corresponding_institution_ids":["https://openalex.org/I7726996"],"apc_list":null,"apc_paid":null,"fwci":1.2736,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81493288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"45","issue":"4","first_page":"6591","last_page":"6604"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9684000015258789,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7493914365768433},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7490214109420776},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5925570130348206},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.532526969909668},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.523085355758667},{"id":"https://openalex.org/keywords/group-decision-making","display_name":"Group decision-making","score":0.5085126161575317},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.49954843521118164},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.47925376892089844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4770338237285614},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.46092674136161804},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45236772298812866},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.4413285255432129},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3575708270072937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3558754324913025},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3220914602279663},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27215754985809326},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09660670161247253},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.07370507717132568}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7493914365768433},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7490214109420776},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5925570130348206},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.532526969909668},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.523085355758667},{"id":"https://openalex.org/C20701700","wikidata":"https://www.wikidata.org/wiki/Q388791","display_name":"Group decision-making","level":2,"score":0.5085126161575317},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.49954843521118164},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.47925376892089844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4770338237285614},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.46092674136161804},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45236772298812866},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.4413285255432129},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3575708270072937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3558754324913025},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3220914602279663},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27215754985809326},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09660670161247253},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.07370507717132568},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-232042","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-232042","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1978062397","https://openalex.org/W2474884296","https://openalex.org/W2507975617","https://openalex.org/W2517223288","https://openalex.org/W2593995542","https://openalex.org/W2806224960","https://openalex.org/W2894864820","https://openalex.org/W3000416615","https://openalex.org/W3013257688","https://openalex.org/W3198403167","https://openalex.org/W4200218661","https://openalex.org/W4245152641","https://openalex.org/W4282978963","https://openalex.org/W4283658246","https://openalex.org/W4362724462","https://openalex.org/W4362724466","https://openalex.org/W4379645967","https://openalex.org/W6679780668","https://openalex.org/W6851792943","https://openalex.org/W6852098847"],"related_works":["https://openalex.org/W2372194214","https://openalex.org/W3081640970","https://openalex.org/W4200439127","https://openalex.org/W2021013714","https://openalex.org/W2412250669","https://openalex.org/W2359856669","https://openalex.org/W2078603735","https://openalex.org/W1488551807","https://openalex.org/W2023979854","https://openalex.org/W2560331580"],"abstract_inverted_index":{"In":[0],"the":[1,19,22,30,36,41,57,62,83,86,97,133,151,157,201,206,213,220],"face":[2,31],"of":[3,32,44,99,121,160,186,205],"multi-attribute":[4,12,167,234],"decision":[5,14,23,34,37,58,63,161,168,235],"problems":[6],"in":[7,29,191,196],"complex":[8,33,77],"situations,":[9],"most":[10],"traditional":[11],"group":[13],"methods":[15],"are":[16,145],"based":[17,171],"on":[18,172],"assumption":[20],"that":[21,85,212],"maker":[24,38],"is":[25],"perfectly":[26],"rational,":[27],"while":[28],"problems,":[35],"usually":[39],"has":[40],"psychological":[42,158],"characteristics":[43],"limited":[45],"rationality":[46,202],"and":[47,128,163,203],"may":[48],"use":[49],"more":[50],"than":[51],"one":[52],"linguistic":[53,89,103,112,123,138,174,224],"term":[54,73,90,104,113,124,139,175,225],"to":[55,75,81],"describe":[56,76],"information":[59,64],"when":[60],"expressing":[61],"To":[65,131],"this":[66,68,106,148,198],"end,":[67],"paper":[69,107,149],"selects":[70],"probabilistic":[71,88,102,111,122,137,173,223],"language":[72],"sets":[74,176],"preference":[78],"information.":[79],"First,":[80],"address":[82],"problem":[84],"current":[87],"set":[91,114,140],"correlation":[92,100,115,143,179,215,221],"coefficient":[93,116,216],"cannot":[94],"appropriately":[95],"measure":[96,219],"degree":[98],"among":[101],"sets,":[105,226],"proposes":[108,164],"a":[109,165,192],"new":[110,193],"from":[117],"three":[118],"characteristic":[119],"factors":[120],"sets:":[125],"mean,":[126],"variance,":[127],"length":[129],"rate.":[130],"integrate":[132],"attribute":[134],"index":[135],"weights,":[136],"weighted":[141],"mixed":[142,178,214],"coefficients":[144],"proposed.":[146],"Second,":[147],"introduces":[150],"TODIM":[152,166],"method,":[153],"which":[154,227],"can":[155,217],"consider":[156],"behavior":[159],"makers,":[162],"making":[169,236],"method":[170,231],"with":[177],"coefficients.":[180],"Finally,":[181],"through":[182],"an":[183,229],"empirical":[184],"analysis":[185],"four":[187],"Internet":[188],"listed":[189],"companies":[190],"first-tier":[194],"city":[195],"China,":[197],"study":[199],"verifies":[200],"validity":[204],"proposed":[207],"method.":[208],"The":[209],"results":[210],"show":[211],"comprehensively":[218],"between":[222],"provides":[228],"important":[230],"for":[232],"future":[233],"problems.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-01-30T23:17:42.513302","created_date":"2025-10-10T00:00:00"}